System Support for Distributed Information Change Monitoring

分布式信息变更监控的系统支持

• 批准号: 9988452
• 负责人: Ling Liu
• 金额: $ 28万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9988452&HistoricalAwards=false
• 关键词: System; Support; Distributed; Information; Change

The project investigates the design and implementation issues in the mointoring of information changes in large distributed networks such as the Internet and World Wide Web. One of the objectives is to develop efficient and scalable strategies, techniques, and systems support for distributed control of large numbers of information change monitoring requests. Research questions to be addressed include the following. What software techniques and tools are able to extract, integrate, and query streams of data over semi-structured or unstructured data? Which distributed trigger and data processing techniques are most scalable and yet efficient in the presence of millions of information change monitoring requests? How do change monitors adapt to wide system parameter variations in runtime environments such as the Internet? How do they scale up as the number of information sources reach millions? Critical system components include change detection algorithms (e.g., tree comparison for web pages), trigger and query grouping, indexing, and caching, as well as parallel processing. Appropriate components will be implemented and evaluated through simulation and measurements on the Internet. These experiments will emphasize the efficiency and scalability of Internet-scale information change monitoring systems. The research results will aid in the engineering, implementation and evaluation of systems and middleware software support for scalable and efficient processing of distributed triggers and queries, as well as effective detection and notification of information changes.

该项目研究了大型分布式网络（例如Internet和万维网）信息变化的设计和实施问题。 目标之一是制定有效且可扩展的策略，技术和系统支持，以控制大量信息更改监控请求的分布式控制。 要解决的研究问题包括以下内容。 哪些软件技术和工具能够通过半结构化或非结构化数据提取，集成和查询数据流？ 哪些分布式触发器和数据处理技术最可扩展，但在数百万个信息更改监控请求的情况下却有效？ 更改监视器如何适应运行时环境（例如Internet）中的广泛系统参数变化？ 随着信息源数量达到数百万美元，它们如何扩展？ 关键系统组件包括更改检测算法（例如，网页的树比较），触发和查询分组，索引和缓存以及并行处理。 适当的组件将通过Internet上的仿真和测量来实施和评估。 这些实验将强调Internet级信息变更监控系统的效率和可扩展性。 该研究结果将有助于对系统的工程，实施和评估以及中间件软件支持，以提供分布式触发器和查询的可扩展有效处理，以及信息更改的有效检测和通知。